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Lag length selection in panel autoregression

Author

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  • Chirok Han
  • Peter C. B. Phillips
  • Donggyu Sul

Abstract

Model selection by BIC is well known to be inconsistent in the presence of incidental parameters. This article shows that, somewhat surprisingly, even without fixed effects in dynamic panels BIC is inconsistent and overestimates the true lag length with considerable probability. The reason for the inconsistency is explained, and the probability of overestimation is found to be 50% asymptotically. Three alternative consistent lag selection methods are considered. Two of these modify BIC, and the third involves sequential testing. Simulations evaluate the performance of these alternative lag selection methods in finite samples.

Suggested Citation

  • Chirok Han & Peter C. B. Phillips & Donggyu Sul, 2017. "Lag length selection in panel autoregression," Econometric Reviews, Taylor & Francis Journals, vol. 36(1-3), pages 225-240, March.
  • Handle: RePEc:taf:emetrv:v:36:y:2017:i:1-3:p:225-240
    DOI: 10.1080/07474938.2015.1114313
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    File URL: http://hdl.handle.net/10.1080/07474938.2015.1114313
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    1. repec:eee:ecolec:v:146:y:2018:i:c:p:1-9 is not listed on IDEAS
    2. repec:eee:eneeco:v:71:y:2018:i:c:p:238-252 is not listed on IDEAS
    3. repec:gam:jecnmx:v:5:y:2017:i:3:p:43-:d:112377 is not listed on IDEAS

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